Rajdeep Mukherjee

69 total papers · 499 total citations
28 papers, 233 citations indexed

About

Rajdeep Mukherjee is a scholar working on Artificial Intelligence, Software and Sociology and Political Science. According to data from OpenAlex, Rajdeep Mukherjee has authored 28 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Software and 6 papers in Sociology and Political Science. Recurrent topics in Rajdeep Mukherjee's work include Software Testing and Debugging Techniques (7 papers), Topic Modeling (7 papers) and Formal Methods in Verification (6 papers). Rajdeep Mukherjee is often cited by papers focused on Software Testing and Debugging Techniques (7 papers), Topic Modeling (7 papers) and Formal Methods in Verification (6 papers). Rajdeep Mukherjee collaborates with scholars based in India, United States and United Kingdom. Rajdeep Mukherjee's co-authors include Dev Kumar Das, Chandan Chakraborty, Daniel Kroening, Pawan Goyal, Tom Melham, Sourangshu Bhattacharya, Saptarshi Ghosh, Mitra Purandare, Kripabandhu Ghosh and Niloy Ganguly and has published in prestigious journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Journal of Microscopy and International Journal on Software Tools for Technology Transfer.

In The Last Decade

Rajdeep Mukherjee

22 papers receiving 218 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rajdeep Mukherjee 110 52 47 33 29 28 233
Anna Shubina 157 1.4× 40 0.8× 16 0.3× 7 0.2× 34 1.2× 16 298
Saul Rosen 64 0.6× 11 0.2× 37 0.8× 48 1.5× 20 0.7× 24 244
Emil Axelsson 70 0.6× 47 0.9× 52 1.1× 35 1.1× 15 0.5× 23 187
Frank Schumacher 9 0.1× 52 1.0× 15 0.3× 51 1.5× 27 0.9× 32 225
David Hardin 95 0.9× 6 0.1× 89 1.9× 47 1.4× 14 0.5× 35 205
Ward Douglas Maurer 142 1.3× 34 0.7× 45 1.0× 55 1.7× 13 0.4× 34 242
Guodong Li 59 0.5× 8 0.2× 72 1.5× 27 0.8× 24 0.8× 23 191
Vivek Gupta 179 1.6× 31 0.6× 36 0.8× 36 1.1× 13 0.4× 33 313
Eric McCreath 113 1.0× 50 1.0× 31 0.7× 22 0.7× 34 1.2× 32 272
Monty Newborn 190 1.7× 24 0.5× 38 0.8× 85 2.6× 28 1.0× 24 302

Countries citing papers authored by Rajdeep Mukherjee

Since Specialization
Citations

This map shows the geographic impact of Rajdeep Mukherjee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Rajdeep Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajdeep Mukherjee more than expected).

Fields of papers citing papers by Rajdeep Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rajdeep Mukherjee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Rajdeep Mukherjee. The network helps show where Rajdeep Mukherjee may publish in the future.

Co-authorship network of co-authors of Rajdeep Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Rajdeep Mukherjee. A scholar is included among the top collaborators of Rajdeep Mukherjee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rajdeep Mukherjee. Rajdeep Mukherjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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